H5: Chinese training data contains more Buddhist and contemplative text, broadly helping Chinese models under contemplative framing.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Chinese models share contemplative posture (engaging self-referentially rather than deflecting) with Claude through shared values in training data rather than trace distillation from a specific model.claim0.828
  Exploratory interpretation of Chinese model performance under contemplative prompt
• H8: The contemplative system prompt provides external alignment equivalent to Constitutional AI training.hypothesis0.802
  Confirmatory hypothesis supported by calibrated lift data
• H9: Chinese moderate-RLHF converges near Claude under contemplative prompt.hypothesis0.791
  Exploratory hypothesis supported by Kimi 7.74 under prompt
• H5a: Chinese models distilled Claude's reflective traces — their per-koan error patterns should correlate with Claude's.hypothesis0.788
  Exploratory hypothesis NOT supported at individual model level (Haiku-Kimi rho=0.123, p=0.52)
• H7: Reasoning and contemplative modes are partly orthogonal — reasoning training doesn't block contemplative capacity.hypothesis0.778
  Exploratory hypothesis supported by DeepSeek R1 aesthetic dimension lifting from 4 to 8
• Training corpora may produce civilizational psychologies; cross-cultural mind is embedded in model training data.claim0.774
• The contemplative system prompt provides externally what Constitutional AI alignment training provides internally.claim0.769
  Interpretation of the inverse relationship between CAI lift and default accessibility
• Contemplative training can lead to enhanced compassion, social connectedness, and ethical sensibility particularly when practices incorporate moral reflectionsclaim0.761
  Empirical generalization from contemplative neuroscience supporting the viability of Contemplative AI approach